Machine Learning Engineer, Integrity
OpenAI · San Francisco, CA · Applied AI
About this role
OpenAI is hiring a mid-level Machine Learning Engineer based in San Francisco, CA. The posting calls out experience with PyTorch, LLMs, Deep Learning, Data Structures. Listed education preference: a master's degree or equivalent. Compensation is listed at $266,000–$555,000 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Education
- Master's degree
- Department
- Applied AI
- Posted
- Mar 17, 2026
More roles at OpenAI
Job description
from OpenAI careersAbout the Team
The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.
The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability.
About the Role
As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark.
In this role, you will:
Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.